class_docstr: NCSN++ model, adapted from https://github.com/yang-song/score_sde and
  https://github.com/sp-uhh/sgmse repository
code: def pad_spec(self, Y):
      T = Y.size(3)
      if T % 64 != 0:
          num_pad = 64 - T % 64
      else:
          num_pad = 0
      pad2d = torch.nn.ZeroPad2d((0, num_pad, 0, 0))
      return pad2d(Y)
  
file_path: espnet/espnet2/enh/layers/ncsnpp.py
imports: import functools
  import numpy
  import torch
  import torch.nn
  from espnet2.enh.layers.ncsnpp_utils import layers, layerspp, normalization
label_desc: Use image node_id 2 for calling the NCSNpp obj's underlying member method code with example usage: obj.pad_spec(Y) and returns: pad2d